Biyi Fang and Yuan Liang are doctoral students studying electrical and computer engineering. Fang's research focus is deep learning optimization and implementation on mobile devices, while Liang's focus is the modeling and optimization of wireless networks and communications. Both students are part of the Institute for Cyber-Enabled Research and use the High Performance Computing Center for their work.
MSU students Biyi Fang and Yuan Liang are working toward solving a problem regarding the pixel-wise segmentation on satellite maps. Basically, objects are interlaced on maps and there are multiple objects in small areas.
They aim to separate objects and differentiate them at the same time. They do this by isolating the pixel and giving a label to the specific type of terrain it belongs to, whether that be buildings, crops, waterways, etc. Fang and Liang’s main focus is to be able to recognize objects captured on a satellite map, and then label these types of objects along with where they are located.
The story is highlighted on MSUToday 360 Perspectives: http://msutoday.msu.edu/360/2018/yuan-liang-and-biyi-fang-improving-satellite-maps/